Multi-resolution Video Steganography Technique Based on Stationary Wavelet Transform (SWT) and Singular Value Decomposition (SVD)

The digital data nowadays is always in increase. This data may be secret data that should be kept and saved. Therefore, steganography algorithms are proposed to hide the important data text, image or video. This paper is proposing a steganography algorithm to hide a secret image in a video using the multi-resolution stationary wavelet transform (SWT) and the singular value decomposition (SVD). Three-resolution 3D SWT is performed to the cover video frames. Then, SVD is applied to one of the transform sub-bands. SVD is applied also to the secret image. Both singular matrices are embedded. At last, inverse transform is performed to get the stego-video. The results of image hiding in each resolution are compared, and hiding in the third resolution outperformed in peak signal-to-noise ratio (PSNR) value. The algorithm was tested using different color and grayscale images and showed promising qualitative and quantitative results.